Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-09-20021221_010300_20021221_054800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/21 |
Start Time | | 2002/12/21 01:03 |
End Time | | 2002/12/21 05:46 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 32.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-09-20021221_010300_20021221_054800-constBx0 |
Minimum Dst Value | | -75 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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